Sara Moccia — accepted AI-conference papers

2022

Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing

Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin +4

IROS 2022poster

Navigation inside luminal organs is an arduous task that requires non-intuitive coordination between the movement of the operator's hand and the information obtained from the endoscopic video. The development of tools to automate certain tasks could alleviate the physical and mental load of doctors…

Cited by 22 Source ↗Scholar ↗

2019

Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers

Emanuele Colleoni, Sara Moccia, Xiaofei Du, Elena De Momi, Danail Stoyanov

RA-L 2019

Surgical-tool joint detection from laparoscopic images is an important but challenging task in computer-assisted minimally invasive surgery. Illumination levels, variations in background and the different number of tools in the field of view, all pose difficulties to algorithm and model training. Ye

Cited by 83 Source ↗Scholar ↗